Tiktoker Hannah Thelen and cyber journalist Kurt Knutsson join'Fox & Friends' to discuss what steps people can take to protect their data Security experts around the world raced Friday to patch one of the worst computer vulnerabilities discovered in years, a critical flaw in open-source code widely used across industry and government in cloud services and enterprise software. "I'd be hard-pressed to think of a company that's not at risk," said Joe Sullivan, chief security officer for Cloudflare, whose online infrastructure protects websites from malicious actors. Untold millions of servers have it installed, and experts said the fallout would not be known for several days. New Zealand's Computer emergency response team was among the first to report that the flaw in a Java-language utility for Apache servers used to log user activity was being "actively exploited in the wild" just hours after it was publicly reported Thursday and a patch released. The vulnerability, dubbed'Log4Shell,' was rated 10 on a scale of one to 10, the worst possible.

There are many examples where if you're training machine–learning models used in artificial intelligence on, for example, genetic or diagnostic data from …

In this profile series, we interview AI innovators on the front-lines - those who have dedicated their life's work to improving the human condition through technology advancements. He is also a founding co-director of Sociovestix Labs, a social enterprise in the area of financial data science. Damian's background is in research where he focuses on large- scale multimedia opinion mining applying machine learning and in particular deep learning to mine insights (trends, sentiment) from online media streams. Damian talks about his realization in deep learning and shares why integrating his work with deep learning is an important part to help prevent future natural disasters. What has your journey been like in deep learning?

Our world is becoming increasingly complex. Every day an immense amount of data is generated, which, if properly understood, can help us make better sense of our world. Until recently, we did not have the means to make proper sense of all of this data. But recent developments in artificial intelligence have changed this. Now, we are able to draw meaningful insights from enormous data sets and use these to make better decisions.

The European Robotics League (ERL) announced the winners of ERL Emergency Robots 2017 major tournament, during the awards ceremony held on Saturday, 23rd September at Giardini Pro Patria, in Piombino, Italy. The ERL Emergency Robots 2017 competition consisted of four scenarios, inspired by the nuclear accident of Fukushima (Japan, 2011) and designed specifically for multi-domain human-robot teams. The first scenario is The Grand Challenge made up of three domains – sea, air, land, and the other three scenarios are made of only two domains. The Awards, given for each scenario to the best performing teams, were introduced by Alan Winfield from Bristol Robotics Laboratory and ERL Emergency Coordinator. "The energy, enthusiasm and spirit of cooperation among the teams competing in ERL Emergency was amazing. We witnessed not only great performances from the teams and their robots, but also the drama and excitement of last minute field repairs and workarounds to the robots", said Alan Winfield.